Abstract:
In this work we propose an optimization of schedulers used for resource allocation in Long Term Evolution (LTE) networks by implementing a Kalman Filter (KF) to the avera...Show MoreMetadata
Abstract:
In this work we propose an optimization of schedulers used for resource allocation in Long Term Evolution (LTE) networks by implementing a Kalman Filter (KF) to the average data rate instead of computing it with the simple expression from the schedulers (20% the actual rate, 80% the previous rate). In order to verify if the predictions using the KF improves the schedulers performance, we have integrated it into LTE-Sim [1] and performed single-cell simulations with five different schedulers. By changing the number of users in the cell we show that, with the introduction of the filter to compute the data rate, there is an increase of throughput and a reduction of packet loss.
Date of Conference: 24-28 June 2019
Date Added to IEEE Xplore: 22 July 2019
ISBN Information: